Then , we can compare the current action pattern with the pattern in the pattern database to find out the known or unknown misuse intrusions and anomaly intrusions . the system model is extensible for adding new intrusion detection agents or new intrusion models . it adopts data mining technology to cut down the dependency of manual encoding and expert experience 这些模式可用来指导系统属性的选择和构造，挖掘生成出有用的系统或者用户的行为模式(正常的或者异常的) ；通过比较当前的系统行为模式和已有的模式规则的相似度来发现已知或者未知的误用入侵和异常入侵活动。
On this base , we design and implement a code generator , which finishes the transformation from pim to psm and from psm to code , to support rapid changes of system behaviors and automatic code generation after requirement changes . run - time states of business objects and association information between objects are separated as logs from business object information , and with the aid of such logs , flexible traceability between business data can also be conveniently realized 在此基础上设计并实现了代码生成器,完成平台无关模型到平台相关模型和平台相关模型到代码的自动转换,以支持在模型变化之后系统行为的快速变化和代码的自动生成,并在对象状态与关联日志的支持下实现企业业务数据的灵活追溯。
These systems are different from not only the continuous systems that are described with differential equations but also the discrete systems that are described with difference equations . the used knowledge is not applicable to these new problems . the demand to study these systems prompts the development of theory of discrete event dynamical systems ( deds ) 由于这些系统不同于用微分方程描述的连续系统，也不同于用差分方程描述的离散系统(数字系统) ，以往的理论体系已难以适用于这些新的问题，基于对这类系统行为和性能研究的需要，推动了离散事件动态系统( discreteeventdynamicalsystem ， deds )理论的形成和发展。
In this paper , an adaptive hidden markov model ( ahmm ) approach for on - line hand - drawn shape recognition is presented . in our method , hmms are chosen as the core recognizer due to its great ability to model stochastic time series . many improvements are made to the traditional hmm recognizer in order to increase the flexibility of the recognition system , the resulting framework can not only adaptively learn from training data , but also can adapt system behavior to input hand - drawn shape 本文提出了一种用于联机手绘图形的自适应隐马尔科夫模型识别方法，该方法利用隐马尔可夫模型( hmm )对时序随机序列的描述能力作为手绘图形识别中的核心分类器，并且在传统hmm识别结构的基础上进行了改进，使得识别系统不仅具有自适应学习训练样本的能力，而且具有根据输入图形特征调节系统行为的能力。
Meanwhile , a major problem in anomaly detection is that system can issue false alarms when there are modifications in the normal system behavior ; therefore , we present an adaptive data - mining framework for anomaly detection . the normal profile can be updated at regular intervals , and as a result , false alarms are significantly reduced 同时,在异常检测系统中,当用户或系统行为的正常轮廓发生变化时,由于检测所需的规则库不能及时的更新,容易造成将用户或系统的正常行为误报为入侵的情况,因此,文中介绍了一个构造自适应系统的方法,通过这种方法,规则库可以自动的更新,并可以有效的减少误报。
11 katoen j - p , langerak r , latella d , brinksma e . on specifying real - time systems in a causality - based setting . lecture notes in computer science 1135 , 1996 , pp . 385 - 405 . 12 fecher h , majster - cederbaum m , wu j . refinement of actions in a real - time process algebra with a true concurrency model 在系统模型的结构表示上，本文扩充了传统的事件结构，使用一种带时间信息的捆绑式事件结构来模拟系统行为，在系统模型的语言刻画上，本文采用的是带时间的类lotos进程代数描述语言，对于动作精化，我们同样采用算子的观点，将动作精化定义为一个操作算子。
This paper focuses on how to utilize the resource of network cluster , and depends on the agent - based modeling and simulation methodology , realizes a distributed simulation platform to carry out large - scale complex systems and understand the behavior of complex systems ultimately . the paper can be divided into three parts . the provenance and the characteristics of complex systems are stated in the first part 本文的研究内容集中在，如何利用日益增大的网络cluster计算资源，依据基于agent的建模与仿真方法学，建立分布仿真平台，对复杂系统进行进一步的、更大规模的建模与仿真，并进而达到理解和控制复杂系统行为的目的。
Contrasting this , in feedback control the most majority of complex systems are controlled using sampled observations of system behavior taken at discrete time instants . thus the resulting controlled systems are hybrid systems , which are called sampled - data systems , involving both continuous - time and discrete - time signals . the investigation of sampled - data systems is motivated primarily due to the widespread use of digitally implemented controller in present - day feedback control of continuous - time systems 工程实践中遇到的动态系统通常是连续时间系统，与此相反，大多数复杂系统的反馈控制却是通过观察采样点上的系统行为来进行控制的，结果所得到的反馈控制系统是个混合系统，它含有连续信号和离散信号，这样的系统称之为采样系统，当今连续受控系统中数字控制器的广泛运用促进了对采样系统的研究，已有的线性采样系统理论显然不能满足处理非线性采样系统的需要，因此近年来非线性采样系统的分析与设计已经成为国际控制论界的持续的研究热点之一。
